Table of Contents

1. Challenge

   Activate Cloud Shell and the Required APIs

   1. From inside the GCP dashboard, load the Cloud Shell terminal. Your project should already be active in the terminal (highlighted in yellow), but if it isn't, enter the following code using your project ID, which is located next to the Google Cloud Platform title at the top of the GCP dashboard:

      gcloud config set project <YOUR_PROJECT_ID>
      

   2. In the Cloud Shell terminal, using gcloud, activate the following APIs, which are required for this lab:
      • run.googleapis.com
      • cloudbuild.googleapis.com
      • containerregistry.googleapis.com
   3. Configure these settings for Cloud Run using gcloud config:
      • Set the region to us-east1
      • Set the platform to managed
2. Challenge

   Create a Firestore Collection and Documents

   For this objective, we need to:

   1. Create a new Firestore database that is set to Native Mode and located in us-east1.
   2. Start a collection with the Collection ID of compscientists.
   3. Create the first document with the following information set on three lines:

   • Line one:
     • Field name: first
     • Field type: string
     • Field value: Ada
   • Line two:
     • Field name: last
     • Field type: string
     • Field value: Lovelace
   • Line three:
     • Field name: birthyear
     • Field type: number
     • Field value: 1815

   4. Create a second document for Alan Turing, born in 1912, using the same formatting from before for Field name and Field type, and update the Filed value with his information.
3. Challenge

   Deploy and Test the Flask Application

   For this objective, you need your GCP project ID, which can be found next to the Google Cloud Platform title on the GCP dashboard:

   1. Clone the necessary git repo to get the Flask application code. This is our repo: https://github.com/linuxacademy/content-google-certified-pro-cloud-developer
   2. Change to the flask-firestore directory.
   3. Build the demo app using gcloud, --tag, gcr.io, and our project ID. Make sure to place it in the flask-firestore directory.
   4. Deploy flask-firestore to Cloud Run using --image, gcr.io, and our project ID. Make sure it is placed in our flask-firestore directory without having to be authenticated.
   5. Use the returned URL for your newly deployed app.
   6. Browse the URL and view the demo page listing the documents in the collection.
   7. Add a new computer scientist (perhaps yourself!) to the collection using the web app's form. Make sure you use proper names and a real year, as there is no exception handling in this web app.
   8. Check that the new document is listed both in the web app and in GCP.